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The Prompt Engineering Substack

Dan Cleary

Our only goal here is to help you get better and more consistent outputs from LLMs using prompt engineering. We read the latest papers on arXiv, test different prompting methods, and report on what we find.

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Substack
PricingOnly free issuesPublishesWeekly
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Latest Issues

Recent posts by this newsletter. Browse the email archive.

China’s Open-Source Models Are Catching Up Faster Than Anyone Expected

A year ago, the model landscape felt predictable. It was mostly OpenAI vs. Anthropic, with Google, xAI, and Meta starting to gain some steam, everything else was an afterthought. Then, in January DeepSeek launched R1 and catapulted onto the...

a month ago
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LLMs get brain rot from scrolling Twitter

It’s common knowledge that modern LLMs are trained on massive slices of the internet. A downstream question from that would be:

2 months ago
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What Cursor’s fine-tuned model means for the AI ecosystem

Earlier this week, Cursor launched Cursor 2.0 and Composer. Whenever a major AI player launches something new, it means a whole lot more than just new features, it’s a glimpse into where the AI market might next.

2 months ago
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2

The LLM Stack Is Moving Upstream

Last week I wrote about how AI dev tools might be in trouble as OpenAI continues to build out its developer platform.

2 months ago
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Authors

The writers behind this newsletter.

  • Dan Cleary

    Founder of PromptHub, ultra-marathon runner, basketball fan

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